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Storage Management for Amazon S3, Google Cloud Storage, and Azure Blob Storage provides deep, prefix-level analytics to help you understand exactly how your storage is being used. With Storage Management you can:
- Pinpoint where spend is coming from in your bucket: Break storage cost to the prefix so you know which workloads, teams, or environments drive growth.
- Identify cold data: Spot buckets with rarely accessed prefixes, and move cold data to lower-cost tiers.
- Tune retention and lifecycle rules with data: Read/write and age metrics show when objects were last used, so you can shift unused prefixes to Glacier, Intelligent-Tiering, and other low-cost classes.
- Monitor data freshness: Age metrics show how recently each prefix was updated, so you can confirm that backups and other time-sensitive data are landing in prefixes when they should.
You can access Storage Management in Datadog by navigating to Infrastructure > Storage Management.
Use the guides below to set up Storage Management in Datadog for your cloud storage service.
